Programming Pig

Programming Pig

by Gates, Alan

Type Book
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This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application--making it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for e…

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Title Statements

  • Full title :Programming Pig.

Summary

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application--making it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently wi.

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Edition Statements

  • Publication Date:2011.

Publication Statements

  • Publisher(s):O'Reilly Media
  • Place of Publication:Sebastopol
  • Language:eng
  • Publication Date:2011.

Notes

Constructors and Passing Data from Frontend to Backend.

Includes index.

The Physical Object

  • Description:1 online resource (222 pages)

Edition Identifiers

  • ISBN:9781449317690, 1449317693, 9781449317683, 1449317685, 9781449317881, 144931788X
  • oclc:ocn767502411
  • LC Classification:QA76.73.P54 2011
  • Dewey Decimal:001.64/05

Table of Contents

Table of Contents; Preface; Data Addiction; Who Should Read This Book; Conventions Used in This Book; Code Examples in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1. Introduction; What Is Pig?; Pig on Hadoop; MapReduce's hello world; Pig Latin, a Parallel Dataflow Language; Comparing query and dataflow languages; How Pig differs from MapReduce; What Is Pig Useful For?; Pig Philosophy; Pig's History; Chapter 2. Installing and Running Pig; Downloading and Installing Pig; Downloading the Pig Package from Apache; Downloading Pig from Cloudera.

Downloading Pig Artifacts from MavenDownloading the Source; Running Pig; Running Pig Locally on Your Machine; Running Pig on Your Hadoop Cluster; Running Pig in the Cloud; Command-Line and Configuration Options; Return Codes; Chapter 3. Grunt; Entering Pig Latin Scripts in Grunt; HDFS Commands in Grunt; Controlling Pig from Grunt; Chapter 4. Pig's Data Model; Types; Scalar Types; Complex Types; Map; Tuple; Bag; Nulls; Schemas; Casts; Chapter 5. Introduction to Pig Latin; Preliminary Matters; Case Sensitivity; Comments; Input and Output; Load; Store; Dump; Relational Operations; foreach.

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